Senior C++ Developer – Neural Network Integration & Production AI Systems

Jerusalem, Israel
R&D – Software /
Full time /
Hybrid

Mobileye is looking for a strong Senior C++ Developer to join our AI Engineering group and play a key role in building production-level systems around our core perception and deep learning algorithms.

This is a rare opportunity to build the software layer that turns advanced neural network perception models into efficient, reliable, production-ready systems running on edge devices.

You will be part of a small, growing team working closely with algorithm developers to bring cutting-edge neural network models into real-world systems. This is a hands-on role with high ownership, combining deep C++ development, neural network integration, system optimization, and production delivery.

The role is ideal for someone who is excited by the intersection of modern C++ engineering, real-time systems, and deep learning deployment — and who wants to grow over time into a broader technical leadership position.

What will your job look like?

  • Design and implement large-scale C++ systems around AI and algorithmic pipelines in a real-time-oriented environment.
  • Integrate neural network models into production software, including model runtime integration, data flow, pre/post-processing, and system-level validation.
  • Work closely with deep learning and computer vision algorithm teams to take models from research/prototype stage into robust production systems.
  • Build and own application-level infrastructure that enables algorithmic and neural network solutions to run efficiently on edge devices.
  • Optimize runtime performance, memory usage, latency, and throughput in resource-constrained environments.
  • Contribute to neural network deployment flows, such as ONNX Runtime integration, model conversion, inference execution, profiling, and optimization.
  • Lead end-to-end development of features — from design and implementation to integration, testing, and deployment.
  • Take part in building CI/CD processes, automated testing, and development workflows for production algorithm systems.
  • Debug complex real-time systems involving C++ infrastructure, algorithmic logic, and neural network execution.
  • Collaborate with multiple teams across Mobileye, gaining deep exposure to both system architecture and state-of-the-art AI algorithms.
  • Gradually take broader technical ownership, mentor others, and grow into a technical leadership or small team leadership role.

All you need is:

  • B.Sc. in Computer Science, Software Engineering, or equivalent.
  • 5+ years of hands-on C++ development experience.
  • Strong understanding of object-oriented design, software architecture, and large-scale system development.
  • Experience working in Linux environments.
  • Strong motivation to work close to deep learning algorithms and production AI systems.
  • Interest in neural network deployment on edge devices, including inference runtimes, performance optimization, and model integration.
  • A proactive, ownership-driven mindset, with interest in growing into a broader technical leadership role.
 
Advantages:
  • Experience with performance optimization, memory efficiency, and real-time systems.
  • Experience with ONNX Runtime, TensorRT, or similar inference runtimes.
  • Familiarity with CI/CD processes and automated testing.
  • Experience working closely with algorithm, computer vision, deep learning, or data teams.
  • Background in computer vision, deep learning systems, or embedded/edge AI deployment.
Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.